Insecure Attachment and Technology Addiction Among Young Adults: The Mediating Role of Impulsivity, Alexithymia, and General Psychological Distress
Why this work is in the frame
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Bibliographic record
Abstract
Previous studies have emphasized the effect of insecurity attachment on youth's Internet and smartphone addiction. In this study, we examine the mediating role of alexithymia, impulsivity, and general psychological distress in the relationship between insecure attachment dimensions and technology addiction. Data were collected from 539 adolescents and young adults, mostly women ( N = 378; 70.1 percent), aged 19.76 ± 1.99 years. Participants completed self-report measures of attachment insecurity, psychological risk factors (i.e., impulsivity, psychological distress, and alexithymia), and technology addiction (i.e., problematic Internet use, smartphone, and Internet addiction). The gender-related (i.e., multi-group) mediation model was tested through a path analysis with both observed and latent variables. Attachment anxiety had no direct effect on technology addiction, whereas attachment avoidance had a small negative direct effect, but only among women. Insecure attachment dimensions were significantly associated with psychological risk factors, whereas the latter had a significant, direct association with technology addiction. Psychological risk factors significantly mediated the association between insecure attachment dimensions and technology addiction. Finally, the tested model was gender-invariant. Findings suggest that insecure attachment dimensions have an indirect effect on the development of technology addiction mediated almost entirely by higher levels of psychological risk factors. Such findings might have relevant implications to inform any treatment plan for young adults who are overinvolved with technology activities and so to deliver patient-tailored interventions.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it